Book Image

Pentaho Data Integration Cookbook - Second Edition - Second Edition

Book Image

Pentaho Data Integration Cookbook - Second Edition - Second Edition

Overview of this book

Pentaho Data Integration is the premier open source ETL tool, providing easy, fast, and effective ways to move and transform data. While PDI is relatively easy to pick up, it can take time to learn the best practices so you can design your transformations to process data faster and more efficiently. If you are looking for clear and practical recipes that will advance your skills in Kettle, then this is the book for you. Pentaho Data Integration Cookbook Second Edition guides you through the features of explains the Kettle features in detail and provides easy to follow recipes on file management and databases that can throw a curve ball to even the most experienced developers. Pentaho Data Integration Cookbook Second Edition provides updates to the material covered in the first edition as well as new recipes that show you how to use some of the key features of PDI that have been released since the publication of the first edition. You will learn how to work with various data sources – from relational and NoSQL databases, flat files, XML files, and more. The book will also cover best practices that you can take advantage of immediately within your own solutions, like building reusable code, data quality, and plugins that can add even more functionality. Pentaho Data Integration Cookbook Second Edition will provide you with the recipes that cover the common pitfalls that even seasoned developers can find themselves facing. You will also learn how to use various data sources in Kettle as well as advanced features.
Table of Contents (21 chapters)
Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
References
Index

Executing part of a job once for every row in a dataset


Assume that you have a list of things or entities such as students, files, dates, products, and so on. Now, suppose that you want to execute a group of job entries once for every entity in that list.

Suppose that you have a file with a list of names, for example:

name
Paul
Santiago
Lourdes
Anna

For each person, you want to do the following:

  • Generate a file saying hello to that person

  • Wait for 2 seconds

  • Write a message to the log

For a single person, these tasks can be done with a couple of entries. If you have a small known list of entities (persons in this example), you could copy and paste that group of entries, once for each. On the other hand, if the list is long, or you do not know the values in advance, there is another way to achieve this. This recipe shows you how.

Getting ready

For this recipe, we will use the Hello transformation described in the introduction.

The destination folder for the file that is generated is in a variable named...